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ORCIDNathan Lay
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2020 – today
- 2024
[c14]Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
Location-Based Radiology Report-Guided Semi-Supervised Learning for Prostate Cancer Detection. ISBI 2024: 1-5- [i5]Pouria Yazdian Anari, Fiona Obiezu, Nathan Lay, Fatemeh Dehghani Firouzabadi, Aditi Chaurasia, Mahshid Golagha, Shiva Singh, Fatemeh Homayounieh, Aryan Zahergivar, Stephanie A. Harmon, Evrim Turkbey, Rabindra Gautam, Kevin C. Ma, María Merino, Elizabeth C. Jones, Mark W. Ball, W. Marston Linehan, Baris Turkbey, Ashkan A. Malayeri:
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging. CoRR abs/2402.05817 (2024) - [i4]Alex Chen, Nathan Lay, Stephanie A. Harmon, Kutsev Ozyoruk, Enis Yilmaz, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
Location-based Radiology Report-Guided Semi-supervised Learning for Prostate Cancer Detection. CoRR abs/2406.12177 (2024) - 2021
- [j4]Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin
, James L. Gulley, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey:
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. IEEE Access 9: 87531-87542 (2021) - [c13]Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. ISBI 2021: 1201-1205
2010 – 2019
- 2018
- [j3]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45: 94-107 (2018) - [c12]Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers:
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. MICCAI (2) 2018: 930-939 - [i3]Nathan Lay, Adam P. Harrison, Sharon Schreiber, Gitesh Dawer, Adrian Barbu:
Random Hinge Forest for Differentiable Learning. CoRR abs/1802.03882 (2018) - 2017
- [c11]Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI 2017: 642-645 - [c10]Ruida Cheng, Nathan Lay, Francesca Mertan, Baris Turkbey, Holger R. Roth, Le Lu, William Gandler, Evan S. McCreedy, Thomas Pohida, Peter L. Choyke, Matthew J. McAuliffe, Ronald M. Summers:
Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. ISBI 2017: 749-753 - [c9]Uyen N. Hoang, Ashkan A. Malayeri, Nathan S. Lay, Ronald M. Summers, Jianhua Yao:
Texture analysis of common renal masses in multiple MR sequences for prediction of pathology. Computer-Aided Diagnosis 2017: 101343J - [c8]Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis 2017: 1013405 - [c7]Ruida Cheng, Holger R. Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan S. McCreedy, Peter L. Choyke, Ronald M. Summers, Matthew J. McAuliffe:
Automatic MR prostate segmentation by deep learning with holistically-nested networks. Image Processing 2017: 101332H - [i2]Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers:
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation. CoRR abs/1702.00045 (2017) - 2016
- [c6]Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on abdominal CT scans by rich feature hierarchies. Computer-Aided Diagnosis 2016: 97851N - [c5]Nathan Lay, Sabrina Freeman, Baris Turkbey, Ronald M. Summers:
Detection of benign prostatic hyperplasia nodules in T2W MR images using fuzzy decision forest. Computer-Aided Diagnosis 2016: 978527 - [c4]Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers:
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) 2016: 388-397 - [c3]Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers:
Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. WACV 2016: 1-10 - 2013
- [c2]Nathan Lay, Neil Birkbeck, Jingdan Zhang, Shaohua Kevin Zhou:
Rapid Multi-organ Segmentation Using Context Integration and Discriminative Models. IPMI 2013: 450-462 - 2012
- [j2]Adrian Barbu, Nathan Lay:
An introduction to artificial prediction markets for classification. J. Mach. Learn. Res. 13: 2177-2204 (2012) - 2011
- [i1]Adrian Barbu, Nathan Lay:
An Introduction to Artificial Prediction Markets for Classification. CoRR abs/1102.1465 (2011) - 2010
- [j1]Edwin Jimenez, Nathan Lay, M. Yousuff Hussaini:
A systematic study of efficient sampling methods to quantify uncertainty in crack propagation and the Burgers equation. Monte Carlo Methods Appl. 16(1): 69-93 (2010) - [c1]Nathan Lay, Adrian Barbu:
Supervised Aggregation of Classifiers using Artificial Prediction Markets. ICML 2010: 591-598
Coauthor Index
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